White Collar Crime Convictions for November 2009

Number Latest Month 652
Percent Change from previous month -0.5
Percent Change from 1 year ago 15.0
Percent Change from 5 years ago (Including Magistrate Court) 24.9
Percent Change from 5 years ago (Excluding Magistrate Court) 9.5

Table 1: Criminal White Collar Crime Convictions

The latest available data from the Justice Department show that during November 2009 the government reported 652 new white collar crime convictions. According to the case-by-case information analyzed by the Transactional Records Access Clearinghouse (TRAC), this number is down 0.5% over the previous month.

White Collar Crime

This report summarizes the government's recent efforts when it comes to combating white collar crime—the number of such cases, the investigative agencies involved, the laws cited, the busiest federal districts and the busiest federal judges.

See more...

The comparisons of the number of defendants convicted for white collar crime-related offenses are based on case-by-case information obtained by TRAC under the Freedom of Information Act from the Executive Office for United States Attorneys. (See Table 1)

When monthly 2009 convictions of this type are compared with those of the same period in the previous year, the number of convictions was up (15 percent). Convictions over the past year are still much higher than they were five years ago. Overall, the data show that convictions of this type are up 24.9 percent from levels reported in 2004.

The growth in these cases is partly related to increases in the matters filed in U.S. Magistrate Courts. If magistrate cases are excluded and only Federal District Court cases are counted, the overall increase in white collar crime convictions is 9.5 percent instead of 24.9 percent. The evidence suggests that part of the difference may be the result of improvements in the recording of the magistrate cases by the Justice Department.

The increase from the levels five years ago in white collar crime convictions for these matters is shown more clearly in Figure 1. The vertical bars in Figure 1 represent the number of white collar crime convictions of this type recorded on a month-to-month basis. Where a prosecution was initially filed in U.S. Magistrate Court and then transferred to the U.S. District Court, the magistrate filing date was used since this provides an earlier indicator of actual trends. The superimposed line on the bars plots the six-month moving average so that natural fluctuations are smoothed out. The one and five-year rates of change in Table 1 and in the sections that follow are all based upon this six-month moving average. To view trends year-by-year rather than month-by-month, see TRAC's annual report series for a broader picture.

FYMONDT: Jan2001
_FREQ_: 695 FYMONDT: Feb2001
_FREQ_: 619 FYMONDT: Mar2001
_FREQ_: 743 FYMONDT: Apr2001
_FREQ_: 570 FYMONDT: May2001
_FREQ_: 651 FYMONDT: Jun2001
_FREQ_: 584 FYMONDT: Jul2001
_FREQ_: 539 FYMONDT: Aug2001
_FREQ_: 627 FYMONDT: Sep2001
_FREQ_: 701 FYMONDT: Oct2001
_FREQ_: 746 FYMONDT: Nov2001
_FREQ_: 634 FYMONDT: Dec2001
_FREQ_: 507 FYMONDT: Jan2002
_FREQ_: 730 FYMONDT: Feb2002
_FREQ_: 563 FYMONDT: Mar2002
_FREQ_: 684 FYMONDT: Apr2002
_FREQ_: 651 FYMONDT: May2002
_FREQ_: 716 FYMONDT: Jun2002
_FREQ_: 646 FYMONDT: Jul2002
_FREQ_: 622 FYMONDT: Aug2002
_FREQ_: 695 FYMONDT: Sep2002
_FREQ_: 635 FYMONDT: Oct2002
_FREQ_: 695 FYMONDT: Nov2002
_FREQ_: 563 FYMONDT: Dec2002
_FREQ_: 583 FYMONDT: Jan2003
_FREQ_: 609 FYMONDT: Feb2003
_FREQ_: 694 FYMONDT: Mar2003
_FREQ_: 761 FYMONDT: Apr2003
_FREQ_: 696 FYMONDT: May2003
_FREQ_: 544 FYMONDT: Jun2003
_FREQ_: 507 FYMONDT: Jul2003
_FREQ_: 629 FYMONDT: Aug2003
_FREQ_: 537 FYMONDT: Sep2003
_FREQ_: 670 FYMONDT: Oct2003
_FREQ_: 628 FYMONDT: Nov2003
_FREQ_: 548 FYMONDT: Dec2003
_FREQ_: 538 FYMONDT: Jan2004
_FREQ_: 609 FYMONDT: Feb2004
_FREQ_: 719 FYMONDT: Mar2004
_FREQ_: 725 FYMONDT: Apr2004
_FREQ_: 660 FYMONDT: May2004
_FREQ_: 553 FYMONDT: Jun2004
_FREQ_: 714 FYMONDT: Jul2004
_FREQ_: 561 FYMONDT: Aug2004
_FREQ_: 602 FYMONDT: Sep2004
_FREQ_: 653 FYMONDT: Oct2004
_FREQ_: 431 FYMONDT: Nov2004
_FREQ_: 439 FYMONDT: Dec2004
_FREQ_: 460 FYMONDT: Jan2005
_FREQ_: 498 FYMONDT: Feb2005
_FREQ_: 587 FYMONDT: Mar2005
_FREQ_: 751 FYMONDT: Apr2005
_FREQ_: 552 FYMONDT: May2005
_FREQ_: 580 FYMONDT: Jun2005
_FREQ_: 674 FYMONDT: Jul2005
_FREQ_: 614 FYMONDT: Aug2005
_FREQ_: 665 FYMONDT: Sep2005
_FREQ_: 741 FYMONDT: Oct2005
_FREQ_: 601 FYMONDT: Nov2005
_FREQ_: 517 FYMONDT: Dec2005
_FREQ_: 516 FYMONDT: Jan2006
_FREQ_: 605 FYMONDT: Feb2006
_FREQ_: 612 FYMONDT: Mar2006
_FREQ_: 679 FYMONDT: Apr2006
_FREQ_: 494 FYMONDT: May2006
_FREQ_: 597 FYMONDT: Jun2006
_FREQ_: 615 FYMONDT: Jul2006
_FREQ_: 521 FYMONDT: Aug2006
_FREQ_: 673 FYMONDT: Sep2006
_FREQ_: 704 FYMONDT: Oct2006
_FREQ_: 607 FYMONDT: Nov2006
_FREQ_: 509 FYMONDT: Dec2006
_FREQ_: 524 FYMONDT: Jan2007
_FREQ_: 552 FYMONDT: Feb2007
_FREQ_: 594 FYMONDT: Mar2007
_FREQ_: 647 FYMONDT: Apr2007
_FREQ_: 589 FYMONDT: May2007
_FREQ_: 703 FYMONDT: Jun2007
_FREQ_: 689 FYMONDT: Jul2007
_FREQ_: 542 FYMONDT: Aug2007
_FREQ_: 600 FYMONDT: Sep2007
_FREQ_: 653 FYMONDT: Oct2007
_FREQ_: 588 FYMONDT: Nov2007
_FREQ_: 543 FYMONDT: Dec2007
_FREQ_: 478 FYMONDT: Jan2008
_FREQ_: 589 FYMONDT: Feb2008
_FREQ_: 532 FYMONDT: Mar2008
_FREQ_: 615 FYMONDT: Apr2008
_FREQ_: 644 FYMONDT: May2008
_FREQ_: 623 FYMONDT: Jun2008
_FREQ_: 591 FYMONDT: Jul2008
_FREQ_: 678 FYMONDT: Aug2008
_FREQ_: 639 FYMONDT: Sep2008
_FREQ_: 713 FYMONDT: Oct2008
_FREQ_: 617 FYMONDT: Nov2008
_FREQ_: 456 FYMONDT: Dec2008
_FREQ_: 470 FYMONDT: Jan2009
_FREQ_: 585 FYMONDT: Feb2009
_FREQ_: 628 FYMONDT: Mar2009
_FREQ_: 743 FYMONDT: Apr2009
_FREQ_: 680 FYMONDT: May2009
_FREQ_: 580 FYMONDT: Jun2009
_FREQ_: 706 FYMONDT: Jul2009
_FREQ_: 636 FYMONDT: Aug2009
_FREQ_: 646 FYMONDT: Sep2009
_FREQ_: 952 FYMONDT: Oct2009
_FREQ_: 655 FYMONDT: Nov2009
_FREQ_: 652 FYMONDT: Jun2001
moveave: 643.66666667 FYMONDT: Jul2001
moveave: 617.66666667 FYMONDT: Aug2001
moveave: 619 FYMONDT: Sep2001
moveave: 612 FYMONDT: Oct2001
moveave: 641.33333333 FYMONDT: Nov2001
moveave: 638.5 FYMONDT: Dec2001
moveave: 625.66666667 FYMONDT: Jan2002
moveave: 657.5 FYMONDT: Feb2002
moveave: 646.83333333 FYMONDT: Mar2002
moveave: 644 FYMONDT: Apr2002
moveave: 628.16666667 FYMONDT: May2002
moveave: 641.83333333 FYMONDT: Jun2002
moveave: 665 FYMONDT: Jul2002
moveave: 647 FYMONDT: Aug2002
moveave: 669 FYMONDT: Sep2002
moveave: 660.83333333 FYMONDT: Oct2002
moveave: 668.16666667 FYMONDT: Nov2002
moveave: 642.66666667 FYMONDT: Dec2002
moveave: 632.16666667 FYMONDT: Jan2003
moveave: 630 FYMONDT: Feb2003
moveave: 629.83333333 FYMONDT: Mar2003
moveave: 650.83333333 FYMONDT: Apr2003
moveave: 651 FYMONDT: May2003
moveave: 647.83333333 FYMONDT: Jun2003
moveave: 635.16666667 FYMONDT: Jul2003
moveave: 638.5 FYMONDT: Aug2003
moveave: 612.33333333 FYMONDT: Sep2003
moveave: 597.16666667 FYMONDT: Oct2003
moveave: 585.83333333 FYMONDT: Nov2003
moveave: 586.5 FYMONDT: Dec2003
moveave: 591.66666667 FYMONDT: Jan2004
moveave: 588.33333333 FYMONDT: Feb2004
moveave: 618.66666667 FYMONDT: Mar2004
moveave: 627.83333333 FYMONDT: Apr2004
moveave: 633.16666667 FYMONDT: May2004
moveave: 634 FYMONDT: Jun2004
moveave: 663.33333333 FYMONDT: Jul2004
moveave: 655.33333333 FYMONDT: Aug2004
moveave: 635.83333333 FYMONDT: Sep2004
moveave: 623.83333333 FYMONDT: Oct2004
moveave: 585.66666667 FYMONDT: Nov2004
moveave: 566.66666667 FYMONDT: Dec2004
moveave: 524.33333333 FYMONDT: Jan2005
moveave: 513.83333333 FYMONDT: Feb2005
moveave: 511.33333333 FYMONDT: Mar2005
moveave: 527.66666667 FYMONDT: Apr2005
moveave: 547.83333333 FYMONDT: May2005
moveave: 571.33333333 FYMONDT: Jun2005
moveave: 607 FYMONDT: Jul2005
moveave: 626.33333333 FYMONDT: Aug2005
moveave: 639.33333333 FYMONDT: Sep2005
moveave: 637.66666667 FYMONDT: Oct2005
moveave: 645.83333333 FYMONDT: Nov2005
moveave: 635.33333333 FYMONDT: Dec2005
moveave: 609 FYMONDT: Jan2006
moveave: 607.5 FYMONDT: Feb2006
moveave: 598.66666667 FYMONDT: Mar2006
moveave: 588.33333333 FYMONDT: Apr2006
moveave: 570.5 FYMONDT: May2006
moveave: 583.83333333 FYMONDT: Jun2006
moveave: 600.33333333 FYMONDT: Jul2006
moveave: 586.33333333 FYMONDT: Aug2006
moveave: 596.5 FYMONDT: Sep2006
moveave: 600.66666667 FYMONDT: Oct2006
moveave: 619.5 FYMONDT: Nov2006
moveave: 604.83333333 FYMONDT: Dec2006
moveave: 589.66666667 FYMONDT: Jan2007
moveave: 594.83333333 FYMONDT: Feb2007
moveave: 581.66666667 FYMONDT: Mar2007
moveave: 572.16666667 FYMONDT: Apr2007
moveave: 569.16666667 FYMONDT: May2007
moveave: 601.5 FYMONDT: Jun2007
moveave: 629 FYMONDT: Jul2007
moveave: 627.33333333 FYMONDT: Aug2007
moveave: 628.33333333 FYMONDT: Sep2007
moveave: 629.33333333 FYMONDT: Oct2007
moveave: 629.16666667 FYMONDT: Nov2007
moveave: 602.5 FYMONDT: Dec2007
moveave: 567.33333333 FYMONDT: Jan2008
moveave: 575.16666667 FYMONDT: Feb2008
moveave: 563.83333333 FYMONDT: Mar2008
moveave: 557.5 FYMONDT: Apr2008
moveave: 566.83333333 FYMONDT: May2008
moveave: 580.16666667 FYMONDT: Jun2008
moveave: 599 FYMONDT: Jul2008
moveave: 613.83333333 FYMONDT: Aug2008
moveave: 631.66666667 FYMONDT: Sep2008
moveave: 648 FYMONDT: Oct2008
moveave: 643.5 FYMONDT: Nov2008
moveave: 615.66666667 FYMONDT: Dec2008
moveave: 595.5 FYMONDT: Jan2009
moveave: 580 FYMONDT: Feb2009
moveave: 578.16666667 FYMONDT: Mar2009
moveave: 583.16666667 FYMONDT: Apr2009
moveave: 593.66666667 FYMONDT: May2009
moveave: 614.33333333 FYMONDT: Jun2009
moveave: 653.66666667 FYMONDT: Jul2009
moveave: 662.16666667 FYMONDT: Aug2009
moveave: 665.16666667 FYMONDT: Sep2009
moveave: 700 FYMONDT: Oct2009
moveave: 695.83333333 FYMONDT: Nov2009
moveave: 707.83333333
Plot of moveave * FYMONDT

Figure 1: Monthly trends in white collar crime convictions

Within the broad category of white collar crime, cases were classified by prosecutors into more specific types.

Case types within white collar crime are

• Federal Procurement Fraud

• Federal Program Fraud

• Tax Fraud

• Arson for Profit

• Other Insurance Fraud

• Financial Institution Fraud

• Bankruptcy Fraud

• Advance Fee Schemes

• Other Fraud Against Businesses

• Consumer Fraud

• Securities Fraud

• Commodities Fraud

• Other Investment Fraud

• Antitrust Violations - Other

• Computer Fraud

• Health Care Fraud

• Fraud Against Insurance Providers

• Intellectual Property Violations

• Insider Fraud Against Insurance Providers

• MEWA (Multiple Employer Welfare Arrangements) Fraud/MET

• 

• Antitrust Violations - Airlines

• Antitrust Violations - Banking

• Antitrust Violations - Defense Procurement

• Antitrust Violations - Extraterritorial Application Of

• Antitrust Violations - Finance Markets, Other than Banking

• Telemarketing Fraud

• Corporate Fraud

• Identity Theft

• Aggravated Identity Theft

• Other White Collar Crime/Fraud

The largest number of convictions of these matters in November 2009 was for "Fraud-Financial Institution", accounting for 18.1 percent of convictions. Convictions were also filed for "Fraud-Identity Theft-Other" (17.6%), " Fraud-Federal Program" (10.7%), "Fraud-Other" (10.7%), "Fraud-Other Business" (8.1%), "Fraud-Identity Theft-Aggravated" (7.7%), "Fraud-Tax" (7.2%), "Fraud-Health Care" (6.1%), "Fraud-Consumer" (2.6%), "Fraud-Computer" (2.1%). See Figure 2.

The lead investigative agency for white collar crime convictions in November 2009 was FBI accounting for 24 percent of convictions. Other agencies with substantial numbers of white collar crime convictions were: DHS (20% ), Postal (15%), SecServ (13%), IRS (8%). See Figure 3.

progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Other
percentage: 64%  (64.26%) progcatlabel: Fraud-Identity Theft-Other
percentage: 18%  (17.64%) progcatlabel: Fraud-Identity Theft-Other
percentage: 18%  (17.64%) progcatlabel: Fraud-Identity Theft-Other
percentage: 18%  (17.64%) progcatlabel: Fraud-Identity Theft-Other
percentage: 18%  (17.64%) progcatlabel: Fraud-Identity Theft-Other
percentage: 18%  (17.64%) progcatlabel: Fraud-Financial Institution
percentage: 18%  (18.1%) progcatlabel: Fraud-Financial Institution
percentage: 18%  (18.1%) progcatlabel: Fraud-Financial Institution
percentage: 18%  (18.1%)
PIE3D chart of progcatlabel

Figure 2: Specific types of convictions
agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: SecServ
percentage: 13%  (13.5%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Postal
percentage: 15%  (15.03%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: Other
percentage: 20%  (19.94%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: IRS
percentage: 8%  (7.67%) agenrevgrp: FBI
percentage: 24%  (23.77%) agenrevgrp: FBI
percentage: 24%  (23.77%) agenrevgrp: FBI
percentage: 24%  (23.77%) agenrevgrp: FBI
percentage: 24%  (23.77%) agenrevgrp: FBI
percentage: 24%  (23.77%) agenrevgrp: DHS
percentage: 20%  (20.09%) agenrevgrp: DHS
percentage: 20%  (20.09%) agenrevgrp: DHS
percentage: 20%  (20.09%)
PIE3D chart of agenrevgrp

Figure 3: Convictions by investigative agency

White Collar Crime Convictions in U.S. Magistrate Courts

Top Ranked Lead Charges

In November 2009, 94 defendants in white collar crime cases for these matters were filed in U.S. Magistrate Courts. These courts handle less serious misdemeanor cases, including what are called "petty offenses." In addition, complaints are sometimes filed in the magistrate courts before an indictment or information is entered. In these cases, the matter starts in the magistrate courts and later moves to the district court where subsequent proceedings take place.

In the magistrate courts in November the most frequently cited lead charge was Title 18 U.S.C Section 1028 involving the "Aggravated identity theft". This was the lead charge for 95.7 percent of all magistrate convictions in November.

White Collar Crime Convictions in U.S. District Courts

In November 2009, 558 defendants in new cases for these matters were charged in the U.S. District Courts. In addition during November there were an additional 0 defendants whose cases moved from the magistrate courts to the U.S. district courts after an indictment or information was filed. The sections which follow cover both sets of cases and therefore cover all matters filed in district court during November.

Top Ranked Lead Charges

Table 2 shows the top lead charges recorded in the convictions of white collar crime matters filed in U.S. District Court during November 2009.

Lead Charge Count Rank 1yr ago 5yrs ago  
18 USC 1344 - Bank fraud 74 1 1 1 More
18 USC 1341 - Mail Fraud - Frauds and swindles 50 2 2 2 More
18 USC 1028 - Fraud and related activity - id documents 47 3 5 8 More
18 USC 1029 - Fraud and related activity - access devices 44 4 6 5 More
18 USC 1343 - Fraud by wire, radio, or television 40 5 4 4 More
18 USC 371 - Conspiracy to commit offense or to defraud US 33 6 3 3 More
18 USC 641 - Public money, property or records 29 7 7 7 More
18 USC 1347 - Health Care Fraud 20 8 8 11 More
18 USC 1349 - Mail Fraud - Attempt and Conspiracy 18 9 9 23 More
26 USC 7206 - Fraud and False statements 16 10 10 10 More

Table 2: Top charges for convictions

  • "Bank fraud" (Title 18 U.S.C Section 1344) was the most frequent recorded lead charge. "Bank fraud" (Title 18 U.S.C Section 1344) was ranked 1 a year ago, while it was the 1 most frequently invoked 5 years ago..

  • Ranked 2nd in frequency was the lead charge "Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341. "Mail Fraud - Frauds and swindles" under Title 18 U.S.C Section 1341 was ranked 2 a year ago, while it was the 2 most frequently invoked 5 years ago..

  • Ranked 3rd was "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028. "Fraud and related activity - id documents" under Title 18 U.S.C Section 1028 was ranked 5 a year ago, while it was the 8 most frequently invoked 5 years ago..

Among these top ten lead charges, the one showing the greatest increase in convictions—up 28.7 percent—compared to one year ago was Title 26 U.S.C Section 7206 that involves " Fraud and False statements ". Compared to five years ago, the largest increase—538.1 percent—was registered for convictions under " Mail Fraud - Attempt and Conspiracy " (Title 18 U.S.C Section 1349 ).

Again among the top ten lead charges, the one showing the sharpest decline in convictions compared to one year ago—down 21.3 percent—was Bank fraud (Title 18 U.S.C Section 1344 ). This was the same statute that had the largest decrease— 26.4 %—when compared with five years ago.

Top Ranked Judicial Districts

In November 2009 the Justice Department said the government obtained 224.1 white collar crime convictions for every ten million people in the United States.

Understandably, there is great variation in the per capita number of white collar crime convictions in each of the nation's ninety-four federal judicial districts.

The districts registering the largest number of convictions per capita for these matters last month are shown in Table 3. Districts must have at least 5 white collar crime convictions to receive a ranking.


Judicial District Percapita Count Rank 1yr ago 5yrs ago  
Montana 1,267 10 1 56 50 More
La, E 947 11 2 43 38 More
Fla, S 922 50 3 1 2 More
Maryland 900 42 4 15 20 More
New Hamp 823 9 5 78 72 More
Ark, E 767 10 6 36 62 More
Wash, W 579 24 7 20 50 More
N. Y., W 559 13 8 45 43 More
Texas, E 505 14 9 18 17 More
Mo, E 499 12 10 16 15 More

Table 3: Top 10 districts (per ten million people)

  • The District of Montana—with 1267 convictions as compared with 224.1 convictions per ten million population in the United States—was the most active during November 2009.

  • The Eastern District of Louisiana (New Orleans) ranked 2nd.

  • Southern District of Florida (Miami) is now ranking 3rd. The Southern District of Florida (Miami) was ranked 1 a year ago, while it was ranked 2 five years ago.

Recent entrants to the top 10 list were Maryland , now ranked 4th , and Eastern District of Missouri (St. Louis) at 10th In the same order, these districts ranked 15th and 16th one year ago and 20th and 15th five years ago.

The federal judicial district which showed the greatest growth in the rate of white collar crime convictions compared to one year ago— 222.2 percent—was New Hampshire . Compared to five years ago, the district with the largest growth— 165.2 percent—was Western District of Washington (Seattle).

In the last year, the judicial District Court recording the largest drop in the rate of white collar crime convictions— 32.3 percent—was Eastern District of Texas (Tyler).  This was the same district that had the largest increase— 16 %—when compared with five years ago.

Top Ranked District Judges

At any one time, there are about 680 federal District Court judges working in the United States. The judges recorded with the largest number of new white collar crime crime cases resulting in convictions of this type during November 2009 are shown in Table 4.

Judge Count Rank  
Motz, J. Frederick Maryland 15 1 More
Marra, Kenneth A. Fla, S 10 2 More
Blake, Catherine C. Maryland 9 3 More
Titus, Roger W. Maryland 8 4 More
Cohn, James I. Fla, S 7 5 More
Molloy, Donald W. Montana 6 6 More
Skretny, William M. N. Y., W 6 6 More
Anderson, Joseph Fletcher Jr. S Car 6 6 More
Jones, Richard A. Wash, W 6 6 More
Lew, Ronald S. W. Cal, C 5 10 More
Dimitrouleas, William P. Fla, S 5 10 More
King, James Lawrence Fla, S 5 10 More
Zloch, William J. Fla, S 5 10 More
Shaw, Charles Alexander Mo, E 5 10 More
Ward, T. John Texas, E 5 10 More

Table 4: Top 10 judges

A total of 13 out of the "top ten" judges were in districts which were in the top ten with the largest number of white collar crime convictions per capita, while the remaining 2 judges were from other districts. (Because of ties, there were a total of 15 judges in the "top ten" rankings.)

  • Judge J. Frederick Motz in the District of Maryland ranked 1st with 15 convicted in white collar crime convictions.

  • Judge Kenneth A. Marra in the Southern District of Florida (Miami) ranked 2nd with 10 convicted in white collar crime convictions.

  • Judge Catherine C. Blake in the District of Maryland ranked 3rd with 9 convicted in white collar crime convictions.

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